An effective global harmony search algorithm for reliability problems

Zou, D, Gao, L, Li, S and Wu, J 2011, 'An effective global harmony search algorithm for reliability problems', Expert Systems with Applications, vol. 38, no. 4, pp. 4642-4648.

Document type: Journal Article
Collection: Journal Articles

Title An effective global harmony search algorithm for reliability problems
Author(s) Zou, D
Gao, L
Li, S
Wu, J
Year 2011
Journal name Expert Systems with Applications
Volume number 38
Issue number 4
Start page 4642
End page 4648
Total pages 7
Publisher Pergamon
Abstract This paper proposes an effective global harmony search algorithm (EGHS) to solve two kinds of reliability problems: the complex (bridge) system optimization problem and the reliability-redundancy optimization problem of the overspeed protection system for a gas turbine. In general, the two problems are formulated as mixed-integer nonlinear programming problems with several constraints. The EGHS combines harmony search algorithm (HS) with concepts from the swarm intelligence of particle swarm optimization algorithm (PSO) to solve optimization problems. The proposed algorithm has been applied to two typical problems with results better than previously reported. The results have demonstrated that the EGHS has strong convergence and capacity of space exploration on solving reliability optimization problems.
Subject Optimisation
Keyword(s) Convergence
Effective global harmony search algorithm
Harmony search algorithm
Particle swarm optimization algorithm
Reliability problems
Harmony search algorithms
Mixed-integer nonlinear programming
Optimization problems
Over speed protection
Particle swarm optimization algorithm
Reliability optimization
Reliability problems
Reliability-redundancy optimization
Space explorations
Strong convergence
Swarm Intelligence
System optimizations
Cellular automata
Convergence of numerical methods
Integer programming
Learning algorithms
Nonlinear programming
Problem solving
Space research
Particle swarm optimization (PSO)
DOI - identifier 10.1016/j.eswa.2010.09.120
Copyright notice © 2010 Elsevier Ltd
ISSN 09574174
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Citation counts: TR Web of Science Citation Count  Cited 41 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 54 times in Scopus Article | Citations
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